| Plate | N_out | Wells |
|---|---|---|
| PBMC-DB2#9A_2+HF#31A 13-08-2018 | 7 | B07 C06 D06 D07 E06 F09 G06 |
| PBMC-HF#10A 30-10-2017 | 5 | B08 C08 C09 E11 H01 |
| PBMC-HF#10B 18-12-2017 | 30 | B03 B07 B08 B09 B10 C04 C07 C08 C09 C10 C11 D01 D02 D04 D06 D07 D08 D09 E01 E07 E08 E09 E10 E11 F07 F08 F09 F10 G08 G10 |
| PBMC-HF#11A+HC#Y 28-11-2017 | 25 | A01 A08 B10 C07 C08 C09 D08 D09 D10 D11 D12 E04 E07 E08 E09 E10 E11 F08 F10 F12 G05 G07 H07 H08 H11 |
| PBMC-HF#11B+HF#15A 15-01-2018 | 18 | B08 C05 C08 C09 C10 C11 D03 D06 D08 D09 D10 E04 E07 E08 E09 E11 F08 G08 |
| PBMC-HF#12A 06-12-2017 | 18 | A09 B03 B08 C06 C07 C08 C09 D02 D03 D04 D06 D09 D11 E08 E11 F08 F09 G08 |
| PBMC-HF#12B+HF#14A 22-01-2018 | 0 | |
| PBMC-HF#13A 26-02-2018 | 11 | B01 B08 C07 C08 C09 D06 D07 E04 E10 F07 G03 |
| PBMC-HF#13B 13-04-2018 | 37 | A02 A03 A07 B01 B03 B05 B08 B09 B10 C06 C08 C10 D02 D05 D06 D07 D08 D12 E02 E03 E04 E05 E08 E09 E10 F06 F07 F08 F09 F10 F11 G03 G05 G11 H01 H11 H12 |
| PBMC-HF#14B+HF#17A 12-03-2018 | 8 | B02 C04 C07 D05 D06 D08 E05 H05 |
| PBMC-HF#15B 19-03-2018 | 17 | B04 B10 C04 C05 C07 C09 D03 D04 D05 D09 E02 E03 E05 E11 F03 F08 F09 |
| PBMC-HF#17B+HF#27A 30-04-2018 | 3 | D06 D07 H02 |
| PBMC-HF#18A+DB2#2B_2 12-02-2018 | 26 | A01 A03 A05 B03 C02 C04 D01 D02 D05 D06 D07 E04 E05 E06 E09 F01 F03 F08 G03 G04 G06 H01 H02 H03 H04 H06 |
| PBMC-HF#18B 03-04-2018 | 4 | B08 C03 D08 F08 |
| PBMC-HF#19A 19-02-2018 | 5 | A09 C07 D07 E09 F08 |
| PBMC-HF#19B+HF#22A 09-04-2018 | 1 | F08 |
| CON-BIS-HF-1 14-08-2017 | 49 | A07 A08 A09 A10 A11 A12 B07 B08 B09 B10 B11 B12 C05 C07 C08 C09 C10 C11 C12 D07 D08 D09 D10 D11 D12 E07 E08 E09 E10 E11 E12 F07 F08 F09 F10 F11 F12 G07 G08 G09 G10 G11 G12 H07 H08 H09 H10 H11 H12 |
| PBMC-HF#1B 02-10-2017 | 17 | A03 A09 B08 C06 C12 E03 E10 E12 F02 F09 F10 F11 F12 G03 H04 H08 H09 |
| PBMC-HF#22B+HF#22Bb 28-05-2018 | 0 | |
| PBMC-HF#24A 12-04-2018 | 16 | B10 C07 C08 C09 D02 D05 D06 D08 E04 E06 E07 E09 E10 F04 F08 F09 |
| PBMC-HF#24B 04-06-2018 | 17 | C07 C09 C10 D06 D07 D08 D10 E07 E09 E10 E11 F08 F09 F10 G08 G10 G11 |
| PBMC-HF#25A 05-03-2018 | 9 | B10 C06 C07 D04 D06 E04 E07 E08 E09 |
| PBMC-HF#25B+HF#26A 23-04-2018 | 0 | |
| PBMC-HF#26B 11-06-2018 | 9 | C08 D06 D07 D08 E08 E09 F07 F08 F09 |
| PBMC-HF#27B+HF#27Bb 18-06-2018 | 3 | A03 A07 D06 |
| PBMC-HF#29A 08-05-2018 | 10 | B08 C07 C09 D02 D06 E09 E10 E11 F07 F08 |
| PBMC-HF#29B 25-06-2018 | 19 | A07 A09 A10 A11 A12 B12 C12 D12 E12 F12 G11 G12 H03 H07 H08 H09 H10 H11 H12 |
| PBMC-HF#31B+HF#42A 01-10-2018 | 32 | A07 A08 A09 A10 B07 B09 B11 C08 C10 D08 E07 E08 E09 F07 F08 F09 F10 F11 F12 G01 G02 G03 G07 G08 G09 G10 G11 H07 H08 H09 H10 H11 |
| PBMC-HF#32A+HF#32Ab 15-05-2018 | 2 | A01 E08 |
| PBMC-HF#32B 29-06-2018 | 2 | E10 F09 |
| PBMC-HF#33A 20-08-2018 | 1 | C10 |
| PBMC-HF#33B 08-10-2018 | 17 | A03 A04 A09 A10 B01 B03 B04 B11 B12 C12 D12 E03 E04 E12 F11 G02 H10 |
| PBMC-HF#34A+HC#19 25-09-2018 | 87 | A02 A03 A04 A05 A06 A07 A08 A09 A10 A11 B01 B02 B03 B04 B05 B06 B07 B08 B10 B11 B12 C01 C02 C03 C04 C05 C06 C07 C08 C09 C10 C11 C12 D01 D02 D03 D04 D06 D07 D08 D09 D10 D11 D12 E01 E02 E03 E04 E05 E06 E07 E08 E09 E10 E11 E12 F01 F02 F03 F04 F05 F06 F08 F09 F10 F11 F12 G01 G02 G03 G04 G05 G06 G07 G08 G09 G10 G11 G12 H02 H03 H04 H05 H06 H07 H08 H11 |
| PBMC-HF#34B 14-11-2018 | 7 | A11 C08 D08 E08 E09 E11 F08 |
| PBMC-HF#36A 27-08-2018 | 2 | E07 H06 |
| PBMC-HF#36B+HF#43A 15-10-2018 | 13 | B04 C02 C06 C11 D01 D07 D08 E02 E05 F05 F08 H04 H06 |
| PBMC-HF#39A 15-10-2018 | 0 | |
| PBMC-HF#39B 23-11-2018 | 24 | A07 A08 B03 B08 C02 C06 C09 C11 D04 D10 D12 E02 E03 E04 F01 F02 F03 F08 F10 F11 G01 G06 G07 H11 |
| PBMC-HF#3A+HF#3Ab 28-08-2017 | 0 | |
| PBMC-HF#3B+HC#2 17-10-2017 | 79 | A01 A03 A05 A06 A07 A08 A09 A10 A11 B03 B04 B05 B06 B07 B08 B09 B10 B11 B12 C01 C02 C03 C04 C05 C06 C07 C08 C09 C10 C11 C12 D03 D04 D05 D06 D07 D08 D09 D10 D12 E01 E02 E03 E04 E05 E06 E07 E08 E09 E10 E12 F01 F02 F03 F04 F05 F06 F08 F09 F10 F11 F12 G01 G02 G03 G04 G05 G06 G07 G08 G09 G10 G11 H04 H05 H06 H08 H09 H10 |
| PBMC-HF#40B+HF#55B 25-02-2019 | 18 | A12 B01 B07 C02 D01 D06 D07 D08 E01 E03 E10 F01 F02 F08 F09 G01 G04 G06 |
| PBMC-HF#42B+HF#46A 19-11-2018 | 3 | F09 H05 H12 |
| PBMC-HF#43B+HF#49A 05-12-2018 | 0 | |
| PBMC-HF#44A 29-10-2018 | 2 | B10 C12 |
| PBMC-HF#46B+HF#40A 07-01-2019 | 40 | A04 A05 A06 A08 A10 A12 B03 B04 B06 B07 C01 C02 C04 C06 C08 C10 D03 D07 D08 D10 E01 E03 E05 E06 E07 E12 F01 F03 F06 F12 G02 G03 G04 G05 G08 G09 G10 H03 H05 H07 |
| PBMC-HF#48A 05-11-2018 | 17 | A01 A07 B09 C05 C08 D02 D07 D08 E04 E07 E10 F04 F08 F10 G01 G04 G08 |
| PBMC-HF#48B 21-12-2018 | 8 | C07 D07 D08 E03 E07 E08 F07 F08 |
| PBMC-HF#49b 22-01-2019 | 18 | A06 A07 B07 C07 C09 D06 D07 D08 D10 E06 E07 E08 E10 F08 F09 F10 G08 G11 |
| PBMC-HF#4A+HF#4Ab 25-09-2017 | 6 | A12 B09 C06 D07 E09 H01 |
| PBMC-HF#4B 13-11-2017 | 1 | E10 |
| PBMC-HF#50A 26-11-2018 | 48 | A03 A05 A06 A07 A08 A09 A11 A12 B01 B03 B04 B08 B10 C05 C06 C07 C09 C10 D02 D03 D04 D06 D08 D09 D10 E01 E02 E05 E07 E08 E10 F02 F05 F07 F08 F09 F10 G03 G04 G05 G06 G08 H01 H04 H05 H06 H10 H11 |
| PBMC-HF#50B+DB2#11B_2 14-01-2019 | 13 | B01 C05 D06 D07 D09 D10 E01 E03 E05 F02 F07 G09 H12 |
| PBMC-HF#53A 02-01-2019 | 12 | A07 A10 C08 C09 D07 D08 D09 E08 F01 F08 G05 H09 |
| PBMC-HF#53B 20-02-2019 | 37 | A08 B07 B08 B09 B10 B11 B12 C02 C03 C05 C07 C08 C09 C11 D01 D02 D06 D08 D09 D11 D12 E05 E08 E09 E10 E12 F06 F07 F08 F09 F10 F11 G05 G08 G10 H07 H11 |
| PBMC-HF#55A 21-01-2019 | 35 | A02 A03 A06 A07 A09 A10 B02 B03 B06 B07 B08 B09 C03 C08 C10 D05 D06 D08 D11 E02 E03 E05 E06 E07 E08 E09 F03 F11 G01 G05 G07 G08 G10 H04 H06 |
| PBMC-HF#5A+HC#11 18-09-2017 | 1 | F08 |
| PBMC-HF#5B 06-11-2017 | 1 | C09 |
| PBMC-HF#7A 23-11-2017 | 2 | A05 H05 |
| PBMC-HF#8A+HC#X 23-10-2017 | 20 | A02 B02 B05 C03 D02 D12 E02 E03 F01 F02 F03 F05 G02 G03 G04 G10 G11 G12 H04 H11 |
| PBMC-HF#8B 11-12-2017 | 19 | B08 C02 C06 C07 C08 C09 C10 C11 D06 D07 D08 D09 D11 E04 E09 E11 F07 F08 F10 |
| Plate | N_out | Wells | Measurement |
|---|---|---|---|
| PBMC-DB2#9A_2+HF#31A 13-08-2018 | 18 | D06 D07 | 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 |
| PBMC-HF#10A 30-10-2017 | 9 | H01 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#10B 18-12-2017 | 10 | A01 D07 A12 D06 | 1 2 3 4 4 5 6 6 8 8 |
| PBMC-HF#11A+HC#Y 28-11-2017 | 6 | A01 | 4 5 6 7 8 9 |
| PBMC-HF#11B+HF#15A 15-01-2018 | 3 | D07 | 4 5 6 |
| PBMC-HF#12A 06-12-2017 | 3 | H01 D07 | 4 7 8 |
| PBMC-HF#12B+HF#14A 22-01-2018 | 5 | D07 D06 | 2 3 4 7 8 |
| PBMC-HF#13A 26-02-2018 | 3 | A01 D07 A12 | 1 4 6 |
| PBMC-HF#13B 13-04-2018 | 9 | H12 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#14B+HF#17A 12-03-2018 | 4 | D06 D07 A01 | 1 3 4 7 |
| PBMC-HF#15B 19-03-2018 | 0 | ||
| PBMC-HF#17B+HF#27A 30-04-2018 | 3 | H12 H01 | 1 2 2 |
| PBMC-HF#18A+DB2#2B_2 12-02-2018 | 18 | A01 H01 | 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 |
| PBMC-HF#18B 03-04-2018 | 0 | ||
| PBMC-HF#19A 19-02-2018 | 15 | D07 H01 | 2 2 3 3 4 5 5 6 6 7 7 8 8 9 9 |
| PBMC-HF#19B+HF#22A 09-04-2018 | 1 | H01 | 1 |
| CON-BIS-HF-1 14-08-2017 | 0 | ||
| PBMC-HF#1B 02-10-2017 | 2 | H01 H12 | 1 1 |
| PBMC-HF#22B+HF#22Bb 28-05-2018 | 2 | H01 | 4 6 |
| PBMC-HF#24A 12-04-2018 | 1 | H01 | 2 |
| PBMC-HF#24B 04-06-2018 | 2 | H01 | 1 3 |
| PBMC-HF#25A 05-03-2018 | 0 | ||
| PBMC-HF#25B+HF#26A 23-04-2018 | 2 | H01 A01 | 1 3 |
| PBMC-HF#26B 11-06-2018 | 3 | A01 A12 | 1 1 2 |
| PBMC-HF#27B+HF#27Bb 18-06-2018 | 9 | H12 D07 | 1 2 2 3 5 5 8 8 9 |
| PBMC-HF#29A 08-05-2018 | 4 | H01 H12 D07 | 2 3 4 9 |
| PBMC-HF#29B 25-06-2018 | 5 | H12 A01 H01 | 6 7 7 7 8 |
| PBMC-HF#31B+HF#42A 01-10-2018 | 3 | A12 D06 | 2 2 4 |
| PBMC-HF#32A+HF#32Ab 15-05-2018 | 4 | A01 D07 | 1 2 3 7 |
| PBMC-HF#32B 29-06-2018 | 1 | A01 | 1 |
| PBMC-HF#33A 20-08-2018 | 0 | ||
| PBMC-HF#33B 08-10-2018 | 10 | D07 A01 | 1 2 3 4 5 6 7 8 9 9 |
| PBMC-HF#34A+HC#19 25-09-2018 | 0 | ||
| PBMC-HF#34B 14-11-2018 | 1 | D07 | 6 |
| PBMC-HF#36A 27-08-2018 | 3 | H12 | 1 8 9 |
| PBMC-HF#36B+HF#43A 15-10-2018 | 6 | D07 | 2 3 5 6 7 8 |
| PBMC-HF#39A 15-10-2018 | 6 | H01 H12 | 1 3 7 8 8 9 |
| PBMC-HF#39B 23-11-2018 | 6 | H01 D06 | 4 6 7 8 8 9 |
| PBMC-HF#3A+HF#3Ab 28-08-2017 | 2 | A01 A12 | 1 5 |
| PBMC-HF#3B+HC#2 17-10-2017 | 0 | ||
| PBMC-HF#40B+HF#55B 25-02-2019 | 0 | ||
| PBMC-HF#42B+HF#46A 19-11-2018 | 0 | ||
| PBMC-HF#43B+HF#49A 05-12-2018 | 3 | H01 | 1 2 5 |
| PBMC-HF#44A 29-10-2018 | 2 | H12 | 1 3 |
| PBMC-HF#46B+HF#40A 07-01-2019 | 1 | D07 | 2 |
| PBMC-HF#48A 05-11-2018 | 9 | A01 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#48B 21-12-2018 | 0 | ||
| PBMC-HF#49b 22-01-2019 | 6 | A01 | 4 5 6 7 8 9 |
| PBMC-HF#4A+HF#4Ab 25-09-2017 | 5 | A12 D07 | 1 2 8 8 9 |
| PBMC-HF#4B 13-11-2017 | 3 | H01 D06 D07 | 1 9 9 |
| PBMC-HF#50A 26-11-2018 | 0 | ||
| PBMC-HF#50B+DB2#11B_2 14-01-2019 | 9 | H12 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#53A 02-01-2019 | 0 | ||
| PBMC-HF#53B 20-02-2019 | 18 | D06 D07 | 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 |
| PBMC-HF#55A 21-01-2019 | 9 | D06 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#5A+HC#11 18-09-2017 | 9 | D07 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#5B 06-11-2017 | 1 | H12 | 9 |
| PBMC-HF#7A 23-11-2017 | 5 | D07 | 2 3 4 5 6 |
| PBMC-HF#8A+HC#X 23-10-2017 | 5 | D07 H01 | 6 7 8 8 9 |
| PBMC-HF#8B 11-12-2017 | 1 | D07 | 2 |
| Plate | N_out | Wells | Measurement |
|---|---|---|---|
| PBMC-DB2#9A_2+HF#31A 13-08-2018 | 4 | H12 D06 | 1 2 3 6 |
| PBMC-HF#10A 30-10-2017 | 1 | D06 | 7 |
| PBMC-HF#10B 18-12-2017 | 4 | D06 D07 | 2 4 6 7 |
| PBMC-HF#11A+HC#Y 28-11-2017 | 2 | A12 D07 | 5 7 |
| PBMC-HF#11B+HF#15A 15-01-2018 | 2 | D06 D07 | 7 7 |
| PBMC-HF#12A 06-12-2017 | 2 | D07 | 8 9 |
| PBMC-HF#12B+HF#14A 22-01-2018 | 2 | A01 | 1 5 |
| PBMC-HF#13A 26-02-2018 | 1 | H12 | 9 |
| PBMC-HF#13B 13-04-2018 | 0 | ||
| PBMC-HF#14B+HF#17A 12-03-2018 | 2 | A01 A12 | 2 2 |
| PBMC-HF#15B 19-03-2018 | 3 | D06 | 4 6 10 |
| PBMC-HF#17B+HF#27A 30-04-2018 | 2 | D06 D07 | 7 7 |
| PBMC-HF#18A+DB2#2B_2 12-02-2018 | 0 | ||
| PBMC-HF#18B 03-04-2018 | 0 | ||
| PBMC-HF#19A 19-02-2018 | 0 | ||
| PBMC-HF#19B+HF#22A 09-04-2018 | 2 | D06 A01 | 1 6 |
| CON-BIS-HF-1 14-08-2017 | 5 | A12 H12 | 1 2 2 3 3 |
| PBMC-HF#1B 02-10-2017 | 0 | ||
| PBMC-HF#22B+HF#22Bb 28-05-2018 | 2 | H01 D07 | 4 7 |
| PBMC-HF#24A 12-04-2018 | 2 | D07 D06 | 2 7 |
| PBMC-HF#24B 04-06-2018 | 0 | ||
| PBMC-HF#25A 05-03-2018 | 2 | D06 | 7 8 |
| PBMC-HF#25B+HF#26A 23-04-2018 | 2 | H12 D07 | 5 7 |
| PBMC-HF#26B 11-06-2018 | 0 | ||
| PBMC-HF#27B+HF#27Bb 18-06-2018 | 4 | A12 D06 D07 | 4 5 7 7 |
| PBMC-HF#29A 08-05-2018 | 3 | D07 D06 | 4 7 7 |
| PBMC-HF#29B 25-06-2018 | 12 | H01 H12 A01 | 2 2 5 5 6 6 7 7 8 8 9 9 |
| PBMC-HF#31B+HF#42A 01-10-2018 | 1 | D06 | 7 |
| PBMC-HF#32A+HF#32Ab 15-05-2018 | 3 | A01 H01 | 3 4 5 |
| PBMC-HF#32B 29-06-2018 | 1 | D07 | 7 |
| PBMC-HF#33A 20-08-2018 | 7 | D07 A12 D06 | 1 2 3 4 6 7 7 |
| PBMC-HF#33B 08-10-2018 | 4 | A12 A01 | 1 6 8 8 |
| PBMC-HF#34A+HC#19 25-09-2018 | 5 | A01 H12 D06 | 2 2 3 7 9 |
| PBMC-HF#34B 14-11-2018 | 2 | D07 D06 | 4 7 |
| PBMC-HF#36A 27-08-2018 | 1 | A12 | 1 |
| PBMC-HF#36B+HF#43A 15-10-2018 | 0 | ||
| PBMC-HF#39A 15-10-2018 | 0 | ||
| PBMC-HF#39B 23-11-2018 | 1 | A12 | 2 |
| PBMC-HF#3A+HF#3Ab 28-08-2017 | 1 | A12 | 5 |
| PBMC-HF#3B+HC#2 17-10-2017 | 9 | H12 | 1 2 3 4 5 6 7 8 9 |
| PBMC-HF#40B+HF#55B 25-02-2019 | 0 | ||
| PBMC-HF#42B+HF#46A 19-11-2018 | 12 | H12 A12 | 1 2 3 3 4 4 5 5 6 7 8 9 |
| PBMC-HF#43B+HF#49A 05-12-2018 | 0 | ||
| PBMC-HF#44A 29-10-2018 | 1 | D07 | 7 |
| PBMC-HF#46B+HF#40A 07-01-2019 | 3 | D07 D06 | 3 7 7 |
| PBMC-HF#48A 05-11-2018 | 2 | A01 D06 | 1 3 |
| PBMC-HF#48B 21-12-2018 | 0 | ||
| PBMC-HF#49b 22-01-2019 | 4 | A01 | 2 3 5 6 |
| PBMC-HF#4A+HF#4Ab 25-09-2017 | 6 | A12 D06 D07 | 1 2 7 7 8 9 |
| PBMC-HF#4B 13-11-2017 | 10 | A01 H12 | 3 3 4 4 5 5 6 6 8 9 |
| PBMC-HF#50A 26-11-2018 | 0 | ||
| PBMC-HF#50B+DB2#11B_2 14-01-2019 | 3 | H01 | 2 3 9 |
| PBMC-HF#53A 02-01-2019 | 3 | A01 | 4 6 9 |
| PBMC-HF#53B 20-02-2019 | 0 | ||
| PBMC-HF#55A 21-01-2019 | 3 | A12 A01 H12 | 2 6 6 |
| PBMC-HF#5A+HC#11 18-09-2017 | 0 | ||
| PBMC-HF#5B 06-11-2017 | 1 | A12 | 9 |
| PBMC-HF#7A 23-11-2017 | 1 | H12 | 8 |
| PBMC-HF#8A+HC#X 23-10-2017 | 4 | H01 A12 | 1 3 4 9 |
| PBMC-HF#8B 11-12-2017 | 0 |
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## [1] "Samples removed due lack of usable measurements(less than 8 in any interval)"
## [1] "19-HC | 25-09-2018" "2-HC | 17-10-2017" "34A-HF | 25-09-2018" "3B-HF | 17-10-2017" "42A-HF | 01-10-2018"
## [1] "Samples removed because there are no 4 intervals )"
## [1] "15B-HF | 19-03-2018" "19-HC | 25-09-2018" "2-HC | 17-10-2017"
## [4] "31Bt-HF | 01-10-2018" "32Ab- | 15-05-2018" "34A-HF | 25-09-2018"
## [7] "4 post-Conbis | 13-11-2017" "48 post-ConBis | 21-12-2018" "7A-CHF | 23-11-2017"
## [10] "FCCP-CONBIS-29POST-29POST | 25-06-2018" "Glycolysis-CONBIS-29POST-29POST | 25-06-2018" "Glycolysis-DB-26-26 | 06-12-2017"
## [13] "Glycolysis-DB-26-26 | 19-02-2018" "Oligomycin-CONBIS-29POST-29POST | 25-06-2018"
Removed outliars in each iteration:
## 1 Point outliares: 2031 -- 8.289796 %
## 2 Point outliares: 750 -- 3.061224 %
## 3 Point outliares: 291 -- 1.187755 %
## 4 Point outliares: 140 -- 0.5714286 %
## 5 Point outliares: 70 -- 0.2857143 %
## 6 Point outliares: 42 -- 0.1714286 %
## 7 Point outliares: 16 -- 0.06530612 %
## 8 Point outliares: 6 -- 0.0244898 %
## 9 Point outliares: 5 -- 0.02040816 %
## 10 Point outliares: 4 -- 0.01632653 %
## 11 Point outliares: 1 -- 0.004081633 %
## 12 Point outliares: 1 -- 0.004081633 %
## 13 Point outliares: 1 -- 0.004081633 %
## 14 Point outliares: 0 -- 0 %
## Total single point outliars: 13.70612 %
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
| sample_id | percentage |
|---|---|
| Y-HC | 28-11-2017 | 39.18 % |
| 32Ab-HF | 15-05-2018 | 31.85 % |
| 39 post-ConBis | 23-11-2018 | 29.80 % |
| 29A-HF | 08-05-2018 | 26.21 % |
| 26A-HF | 23-04-2018 | 25.00 % |
| 33A-HF | 20-08-2018 | 24.29 % |
| 18A-HF | 12-02-2018 | 24.24 % |
| 22Bb-HF | 28-05-2018 | 23.33 % |
| 15A-HF | 15-01-2018 | 23.27 % |
| 53 post-ConBis | 20-02-2019 | 22.33 % |
| 27A-HF | 30-04-2018 | 21.94 % |
| 49A-HF | 05-12-2018 | 21.11 % |
| 33B-HF | 08-10-2018 | 20.98 % |
| 19B-HF | 09-04-2018 | 20.83 % |
| 26B-HF | 11-06-2018 | 20.56 % |
| 10A-HF | 30-10-2017 | 19.17 % |
| 18B-HF | 03-04-2018 | 18.99 % |
| 4B-HF | 13-11-2017 | 18.89 % |
| 9A_2-DB2 | 13-08-2018 | 18.42 % |
| 11-HC | 18-09-2017 | 18.41 % |
| 27Bb-HF | 18-06-2018 | 18.08 % |
| 3Ab-HF | 28-08-2017 | 18.06 % |
| 55B-HF | 25-02-2019 | 17.59 % |
| 32A-HF | 15-05-2018 | 17.22 % |
| 55A-HF | 21-01-2019 | 17.11 % |
| 49B-HF | 22-01-2019 | 16.95 % |
| 25B-HF | 23-04-2018 | 16.94 % |
| 5B-HF | 06-11-2017 | 16.71 % |
| 17B-HF | 30-04-2018 | 16.52 % |
| 40B-HF | 25-02-2019 | 16.12 % |
| 22A-HF | 09-04-2018 | 16.10 % |
| 46B-HF | 07-01-2019 | 15.98 % |
| 11B_2-DB2 | 14-01-2019 | 15.90 % |
| 11A-HF | 28-11-2017 | 15.70 % |
| 12B-HF | 22-01-2018 | 15.60 % |
| 24A-HF | 12-04-2018 | 15.29 % |
| 14B-HF | 12-03-2018 | 14.60 % |
| 7A-HF | 23-11-2017 | 14.07 % |
| 48 pre- | 05-11-2018 | 13.92 % |
| 2B_2-DB2 | 12-02-2018 | 13.62 % |
| 13A-HF | 26-02-2018 | 13.51 % |
| 14A-HF | 22-01-2018 | 12.82 % |
| 4Ab-HF | 25-09-2017 | 12.57 % |
| 27B-HF | 18-06-2018 | 12.54 % |
| 17A-HF | 12-03-2018 | 12.19 % |
| 31B-HF | 01-10-2018 | 11.93 % |
| 25A-HF | 05-03-2018 | 11.90 % |
| 8B-HF | 11-12-2017 | 11.61 % |
| 3A-HF | 28-08-2017 | 11.39 % |
| 40A-HF | 07-01-2019 | 11.16 % |
| 36A-HF | 27-08-2018 | 10.73 % |
| 31A-HF | 13-08-2018 | 9.86 % |
| 43B-HF | 05-12-2018 | 9.17 % |
| 48B-HF | 21-12-2018 | 8.91 % |
| 22B-HF | 28-05-2018 | 8.68 % |
| 5A-HF | 18-09-2017 | 8.61 % |
| 36B-HF | 15-10-2018 | 8.25 % |
| 1B- | 02-10-2017 | 8.20 % |
| 42B-HF | 19-11-2018 | 8.01 % |
| 50A-HF | 26-11-2018 | 7.65 % |
| 10B-HF | 18-12-2017 | 7.57 % |
| 24B-HF | 04-06-2018 | 7.50 % |
| 13B-HF | 13-04-2018 | 7.41 % |
| 34B-HF | 14-11-2018 | 6.94 % |
| 11B-HF | 15-01-2018 | 6.87 % |
| 50B-HF | 14-01-2019 | 6.73 % |
| 43A-HF | 15-10-2018 | 6.23 % |
| 53A-HF | 02-01-2019 | 6.09 % |
| 44A-HF | 29-10-2018 | 5.28 % |
| 4A-HF | 25-09-2017 | 4.80 % |
| 19A-HF | 19-02-2018 | 4.09 % |
| 32B-HF | 29-06-2018 | 3.89 % |
| 39A-HF | 15-10-2018 | 3.61 % |
| 46A-HF | 19-11-2018 | 3.58 % |
| 12A-HF | 06-12-2017 | 2.09 % |
| 1A-HF | 14-08-2017 | 1.70 % |
| X-HC | 23-10-2017 | 1.32 % |
| 8A-HF | 23-10-2017 | 1.30 % |
## Warning: Removed 7 rows containing missing values (geom_point).
## Warning: Removed 3 rows containing missing values (geom_point).
# Get Estimates
Estimates are taken by median of measurements from each interval in sample. Estimates are stored together with other details about the intervals in files called
If you want to see or change how they are computed see the function compute_bioenergetics_ ()in file analysis_source_functions.R
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
| sample_id | Interval | mean | SD | SE | size | CV |
|---|---|---|---|---|---|---|
| 10A-HF | 30-10-2017 | Int1 | 47.648 | 3.929 | 0.349 | 127 | 8.246 |
| 10A-HF | 30-10-2017 | Int2 | 17.073 | 2.187 | 0.265 | 68 | 12.812 |
| 10A-HF | 30-10-2017 | Int3 | 109.375 | 6.082 | 1.075 | 32 | 5.560 |
| 10A-HF | 30-10-2017 | Int4 | 15.170 | 1.553 | 0.194 | 64 | 10.234 |
See diferent distribution of the estimates
Bioenergetics are computed from estimates, there there are two sets of bioenergetics provided.
Ratio Based, computed from log(OCR) estimates Located in OUTPUT/LogOCR-BioEnergetics.csv
Difference based, computed from OCR esimates Located in OUTPUT/OCR-BioEnergetics.csv If you want to see or change how they are computed see the function compute_bioenergetics_() in file analysis_source_functions.R
| Sample | variable | value |
|---|---|---|
| 10A-HF | 30-10-2017 | log.Basal.Resp | 1.145 |
| 10B-HF | 18-12-2017 | log.Basal.Resp | 1.392 |
| 11-HC | 18-09-2017 | log.Basal.Resp | 1.275 |
| 11A-HF | 28-11-2017 | log.Basal.Resp | 1.012 |
If the sample_id of your samples contains letters A or B following graph will plot bioenergetics of the two grups. It is suggested to use this plot only when you are looking at grouped samples and project name shouldn’t contain letters A or B. Any sample that is not labeled will be part of B group.
You can change the A and B letters in the markdown code to compare other groups.
# difference based BE
n.bio %>%
mutate(Group = ifelse(grepl("A", Sample), "A", "B")) %>% # change "A" and "B" for any character or string
ggplot(aes(Group, value, fill = variable))+
ggtitle("OCR Normal scale Bio-Energetics biological groups ")+
geom_boxplot(width = 0.5, outlier.size = -1, alpha = 0.7)+
geom_jitter(width = 0.1, show.legend = FALSE, size = 0.5)+
xlab("Bio-Energetics")+
ylab("OCR")+
facet_grid(. ~ variable ) +
theme_bw()
# ratio based BE
l.bio %>%
mutate(Group = ifelse(grepl("A", Sample), "A", "B")) %>% # change "A" and "B" for any character or string
ggplot(aes(Group, value, fill = variable))+
ggtitle("OCR Normal scale Bio-Energetics biological groups ")+
geom_boxplot(width = 0.5, outlier.size = -1, alpha = 0.7)+
geom_jitter(width = 0.1, show.legend = FALSE, size = 0.5)+
xlab("Bio-Energetics")+
ylab("OCR")+
facet_grid(. ~ variable ) +
theme_bw()
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## [1] "Samples removed due lack of usable measurements(less than 8 in any interval)"
## [1] "19-HC | 25-09-2018" "2-HC | 17-10-2017" "34A-HF | 25-09-2018" "42A-HF | 01-10-2018" "50A-HF | 26-11-2018" "Y-HC | 28-11-2017"
## [1] "Samples removed because don't have 3 Intervals"
## [1] "12A-HF | 06-12-2017" "15B-HF | 19-03-2018" "19-HC | 25-09-2018"
## [4] "19A-HF | 19-02-2018" "31B-HF | 01-10-2018" "32Ab-HF | 15-05-2018"
## [7] "3B-HF | 17-10-2017" "48B-HF | 21-12-2018" "4B-HF | 13-11-2017"
## [10] "7A-HF | 23-11-2017" "FCCP-CONBIS-29POST-29POST | 25-06-2018" "Oligomycin-CONBIS-29POST-29POST | 25-06-2018"
## 1 Point outliares: 804 -- 4.846293 %
## 2 Point outliares: 331 -- 1.995178 %
## 3 Point outliares: 152 -- 0.9162146 %
## 4 Point outliares: 85 -- 0.5123568 %
## 5 Point outliares: 40 -- 0.2411091 %
## 6 Point outliares: 20 -- 0.1205546 %
## 7 Point outliares: 8 -- 0.04822182 %
## 8 Point outliares: 5 -- 0.03013864 %
## 9 Point outliares: 6 -- 0.03616637 %
## 10 Point outliares: 2 -- 0.01205546 %
## 11 Point outliares: 0 -- 0 %
## Total single point outliars: 8.758288 %
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
| sample_id | percentage |
|---|---|
| 1A-HF | 14-08-2017 | 36.63 % |
| 49B-HF | 22-01-2019 | 31.78 % |
| 32A-HF | 15-05-2018 | 29.37 % |
| 40B-HF | 25-02-2019 | 26.02 % |
| 32Ab- | 15-05-2018 | 25.89 % |
| 2B_2-DB2 | 12-02-2018 | 19.09 % |
| 15A-HF | 15-01-2018 | 19.02 % |
| 55A-HF | 21-01-2019 | 18.83 % |
| 22Bb-HF | 28-05-2018 | 18.65 % |
| 33A-HF | 20-08-2018 | 17.67 % |
| 11B_2-DB2 | 14-01-2019 | 17.45 % |
| 10B-HF | 18-12-2017 | 17.33 % |
| 46A-HF | 19-11-2018 | 17.14 % |
| 3Ab-HF | 28-08-2017 | 17.06 % |
| 26B-HF | 11-06-2018 | 15.48 % |
| 53 post-ConBis | 20-02-2019 | 15.08 % |
| 5B-HF | 06-11-2017 | 14.68 % |
| 43B-HF | 05-12-2018 | 13.10 % |
| 13B-HF | 13-04-2018 | 12.73 % |
| 3A-HF | 28-08-2017 | 12.30 % |
| 11A-HF | 28-11-2017 | 12.03 % |
| 32B-HF | 29-06-2018 | 11.11 % |
| 34B-HF | 14-11-2018 | 10.71 % |
| 49A-HF | 05-12-2018 | 10.71 % |
| 8A-HF | 23-10-2017 | 10.23 % |
| X-HC | 23-10-2017 | 10.05 % |
| 1B- | 02-10-2017 | 9.55 % |
| 50B-HF | 14-01-2019 | 9.30 % |
| 53A-HF | 02-01-2019 | 9.24 % |
| 31Bt-HF | 01-10-2018 | 9.17 % |
| Glycolysis-DB-26-26 | 19-02-2018 | 9.17 % |
| 5A-HF | 18-09-2017 | 9.13 % |
| 17B-HF | 30-04-2018 | 8.94 % |
| 33B-HF | 08-10-2018 | 8.93 % |
| 12B-HF | 22-01-2018 | 8.33 % |
| 14B-HF | 12-03-2018 | 7.80 % |
| 48 pre- | 05-11-2018 | 7.17 % |
| 43A-HF | 15-10-2018 | 6.96 % |
| 39 post-ConBis | 23-11-2018 | 6.81 % |
| 22B-HF | 28-05-2018 | 6.75 % |
| 29A-HF | 08-05-2018 | 6.50 % |
| 14A-HF | 22-01-2018 | 6.45 % |
| 8B-HF | 11-12-2017 | 6.38 % |
| 44A-HF | 29-10-2018 | 5.95 % |
| 36A-HF | 27-08-2018 | 5.74 % |
| Glycolysis-DB-26-26 | 06-12-2017 | 5.19 % |
| 11B-HF | 15-01-2018 | 5.04 % |
| 13A-HF | 26-02-2018 | 5.00 % |
| 39A-HF | 15-10-2018 | 3.57 % |
| 40A-HF | 07-01-2019 | 3.57 % |
| 22A-HF | 09-04-2018 | 3.28 % |
| 36B-HF | 15-10-2018 | 3.08 % |
| 27Bb-HF | 18-06-2018 | 2.87 % |
| 18A-HF | 12-02-2018 | 2.72 % |
| 55B-HF | 25-02-2019 | 2.70 % |
| 4 post-Conbis | 13-11-2017 | 2.50 % |
| 25B-HF | 23-04-2018 | 2.38 % |
| 18B-HF | 03-04-2018 | 2.13 % |
| 19B-HF | 09-04-2018 | 1.98 % |
| 42B-HF | 19-11-2018 | 1.36 % |
| 9A_2-DB2 | 13-08-2018 | 1.32 % |
| 4A-HF | 25-09-2017 | 1.23 % |
| 10A-HF | 30-10-2017 | 1.19 % |
| 17A-HF | 12-03-2018 | 0.93 % |
| 48 post-ConBis | 21-12-2018 | 0.84 % |
| 31A-HF | 13-08-2018 | 0.83 % |
| 24B-HF | 04-06-2018 | 0.79 % |
| 26A-HF | 23-04-2018 | 0.79 % |
| 25A-HF | 05-03-2018 | 0.45 % |
| 27A-HF | 30-04-2018 | 0.40 % |
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
## `summarise()` has grouped output by 'sample_id'. You can override using the `.groups` argument.
#Estimates
#Groups
BASAL ECAR vs BASAl OCAR